• KOGO NEWS
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• v.6 no.1
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• pp.24-28
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• 2006

프로테오믹스는 생물체 안에 포함되어 있는 단백질을 통합적으로 연구한다. 단백질을 동정(Protein identification)하고, 단백질의 상태를 분석(Protein characterization)하며, 단백질의 양적 변화를 관찰(Protein quantitation)한다. 단백질에 대한 분석, 특히 질량분석기에 의해 초고속으로 대량의 단백질 데이터를 생산하는 프테테오믹스의 연구는 정량적인 단백질 발현양상분석의 정확도를 높이고 분석시간을 단축하기 위해 다양한 실험기법과 데이터 분석기법을 동원하고 있다. 1) 단백질의 양적 차이나 양적 변화의 관찰은 바이오마커를 발굴하고 생명현상의 메카니즘을 규명하여 그 결과를 신약개발에 활용하기 위한 기초 연구이다. 이 글에서는 프로테오믹스 연구의 초창기부터 사용되어온 2차원 전기영동법에 의해 생성되는 2D-gel image에서의 스팟(spot)분석법과 함께, 탄뎀 질량분석기를 사용하는 ICAT, SILAC 등의 동위 원소를 사용한 라벨링(labeling) 방법, 라벨링을 하지 않는 label-free 방법 등 프로테오믹스에서의 정량분석법에 대한 기본 개념을 살펴보고, 이들에서의 데이터 분석 기술의 적용에 대해 간략히 소개하였다.

• The Journal of Korean Association of Computer Education
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• v.23 no.3
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• pp.9-15
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• 2020

This study analyzed high school informatics textbooks that were developed based on the 2015 Revised National Curriculum. Content analysis was adopted to analyze the organization system of the textbooks. Learning objectives were also analyzed according to Anderson's taxonomy of educational objectives. Through content analysis, it was revealed that the textbooks were composed of activities, differentiated learning, and small group learning to promote core competencies. The analysis of learning objectives of the textbooks showed that 'understanding' (41%), 'developing' (20%), and 'applying' (18%) were the three highest criteria in terms of cognitive processes; in terms of type of knowledge, conceptual knowledge accounts for the highest(45%), followed by procedural (32%), and factual (12%). Further methods to improve the textbook quality is proposed based on the results from this analysis.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.1
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• pp.78-85
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• 2019

Membrane proteins are involved in many common diseases, including heart disease and cancer. In various disease states, such as cancer, abnormal signaling pathways that are related to the membrane proteins cause the cells to divide out of control and the expression of membrane proteins can be altered. Membrane proteins have the hydrophobic environment of a lipid bilayer, which makes an analysis of the membrane proteins notoriously difficult. Therefore, this study evaluated the efficacy of two different methods for optimal membrane protein extraction. High-speed centrifuge and reagent-based method with a -/+ filter aided sample preparation (FASP) were compared. As a result, the high-speed centrifuge method is quite effective in analyzing the mitochondrial inner membranes, while the reagent-based method is useful for endoplasmic reticulum membrane analysis. In addition, the function of the membrane proteins extracted from the two methods were analyzed using GeneGo software. GO processes showed that the endoplasmic reticulum-related responses had higher significance in the reagent-based method. An analysis of the process networks showed that one cluster in the high-speed centrifuge method and four clusters in the reagent-based method were visualized. In conclusion, the two methods are useful for the analysis of different subcellular membrane proteins, and are expected to assist in selecting the membrane protein extraction method by considering the target subcellular membrane proteins for study.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.899-907
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• 2022

Purpose: Although many studies on seismic fragility analysis of general bridges have been conducted using machine learning methods, studies on curved bridge structures are insignificant. Therefore, the purpose of this study is to analyze the seismic fragility of bridges with I-shaped curved girders based on the machine learning method considering the material property and geometric uncertainties. Method: Material properties and pier height were considered as uncertainty parameters. Parameters were sampled using the Latin hypercube technique and time history analysis was performed considering the seismic uncertainty. Machine learning data was created by applying artificial neural network and response surface analysis method to the original data. Finally, earthquake fragility analysis was performed using original data and learning data. Result: Parameters were sampled using the Latin hypercube technique, and a total of 160 time history analyzes were performed considering the uncertainty of the earthquake. The analysis result and the predicted value obtained through machine learning were compared, and the coefficient of determination was compared to compare the similarity between the two values. The coefficient of determination of the response surface method was 0.737, which was relatively similar to the observed value. The seismic fragility curve also showed that the predicted value through the response surface method was similar to the observed value. Conclusion: In this study, when the observed value through the finite element analysis and the predicted value through the machine learning method were compared, it was found that the response surface method predicted a result similar to the observed value. However, both machine learning methods were found to underestimate the observed values.

• Proceedings of the Optical Society of Korea Conference
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• 2002.07a
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• pp.250-251
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• 2002

혈당의 비침습적인 측정의 필요성은 잦은 채혈로 인한 감염의 우려, 필요할 때마다 채혈의 고통 없이 혈당을 측정할 수 있다는 장점 때문에 지난 20여 년 동안 활발히 연구되어 왔다. 근적외선 및 원적외선 흡수분광법, 라만분광법, Polarization rotation 또는 Stimulated Raman 측정법, 온도측정법, 통계적 분석법, 전처리연구 등 많은 분야에서 접근하고 있지만 아직까지는 in vivo 측정에 성공하고 있지 못하고 있다 [1]. (중략)

• Analytical Science and Technology
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• v.13 no.4
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• pp.1070-1078
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• 2000

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.51-63
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• 2014

Learning objectives is used to be a good guidance of a class evaluation and activity design for an effective teaching and learning activities in class. Anderson's taxonomy of Educational Objectives that was a revision of Bloom's taxonomy has presented in research field of other subject matters and used as a better guideline for analyzing learning objectives in textbook and achievement levels in test recently. This study has behaved some questionnaires for that Anderson's taxonomy is suitable for a guideline of stating learning objective in Informatics subject matter, and analyzed the learning objectives in 6 Informatics textbooks by Anderson's taxonomy. It has proposed that Anderson's taxonomy is satisfactory for expressing learning objective of Informatics subject matter in class and some dimensions, such as conceptual and procedural knowledge, understand, and apply, are much more used in learning objectives in 6 Informatics textbooks. This results will be a good case study in research about taxonomy of educational objectives and development of Informatics textbooks.

• Korean Journal of Soil Science and Fertilizer
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• v.31 no.2
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• pp.114-119
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• 1998

Intensity and stability of the blue color of phospho-molybdate complex in P analysis are known to be influenced by the matrix, reducing regent and acidity of the extractants. Objective of this research was to compare the efficiency of the color-developing reagents for P concentrations in distilled water and extracts of Lancaster, Mehlich II, and Mehlich III methods. Efficiencies on which to base this study were evaluated by the optimum ranges of P, reproducibility of calibration curve and stability of the developed color. Color-developing reagents employed were ammonium molybdate-1,2,4- aminonaphtholsulfonic acid (ANS), ammonium molybdate-ascorbic acid-bismuth subcarbonate (AB), and ammonium molybdate-ascorbic acid-antimony potassium tartarate (AA). The ANS revealed the lowest sensitivity but the widest ranges for P concentrations in color development. On the other hand, the AA bore the narrowest color-developing ranges and its sensitivity was similar to AB. However, at P concentrations lower than $0.5mg\;L^{-1}$, AA was more sensitive than AB. Based on the data on the ranges of calibration curve, stability of color and reproducibility of analytical data. AA reagent was considered to be suitable for the determination of P in distilled water and AB reagent was practically recommendable for soil P analysis in extracts by Lancaster, Mehlich II, and Mehlich III procedures.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.502-504
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• 2005

본 논문에서는 수사법을 이용한 대중가요 분석법을 제시한다. 분석목표는 가사와 악곡의 수사구조 파악이다. 그 결과 가요의 가사와 곡이 어떻게 대응하여 전개되는지 확인해 볼 수 있었다. 이를 바탕으로 (1) 가요의 주제 가사와 선율을 빠른 시간 안에 찾아낼 수 있고 (2) 가요의 효과적인 분류와 검색, 또한 (3) 곡의 충실성 또는 유행가능성을 예측해보는 데에도 활용될 수 있을 것이다.

• Food Science and Preservation
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• v.24 no.8
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• pp.1103-1112
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• 2017

This study was performed to investigate the effects of different cooking methods (boiling, roasting, stir-frying, and deep-frying) on folate retention in 6 kinds of mushrooms (Beech-, button-, Juda's ear-, oak-, oyster-, and winter-mushrooms) frequently consumed in Korea. In order to assure reliability of analytical data, trienzyme extraction-L casei method was verified and analytical quality control was also evaluated. Folate contents of mushrooms varied by 6.04-64.82 g/100 g depending on the type of mushrooms. and were significantly affected by cooking methods. Depending on cooking methods, folate contents of mushrooms decreased by 22-48%, 2-31%, and 17-56% for Juda's ear-, oak- and oyster-mushrooms, respectively, while 17-90% of folate was increased in Beech mushroom. Overall, the largest weight loss was found in boiled mushrooms, but the lowest one in deep-fried samples. True folate retention rates considering processing factor were less than 100% for all cooked mushrooms except for Beech samples. Overall, folate loss was the largest by boiling with water but the smallest by deep-frying. Both accuracy and precision of trienzyme extraction-L-casei method were excellent based on a recovery close to 100% and coefficient variations less than 3%. Quality control chart of folate analysis (n=26) obtained during the entire study and an international proficiency test (z-score=-0.5) showed that trienzyme extraction-L casei method is reliable enough for production of national folate database.